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ThinkMind // SIGNAL 2016, The First International Conference on Advances in Signal, Image and Video Processing // View article signal_2016_3_40_80068


An Improved Empirical Mode Decomposition for Long Signals

Authors:
José Luís Sánchez
Manuel Ortigueira
Raul Rato
Juan Trujillo

Keywords: Empirical mode decomposition; Intrinsic mode function; long signals

Abstract:
The analysis of long signals is relevant in many fields, as biomedical signal analysis. In this paper, a revision of the Empirical Mode Decomposition (EMD), from the application point of view, is done. The increase in number of Intrinsic Mode Functions (IMF) and computational time in long signals are the main problems that have been faced in this work. A solution based on a sliding window is proposed. An adaptive process is used to calculate the size of the sliding Windows. As a result, the effectiveness of the proposed algorithm increases with the length of the signal. Two examples are introduced to illustrate both problems mentioned above.

Pages: 58 to 62

Copyright: Copyright (c) IARIA, 2016

Publication date: June 26, 2016

Published in: conference

ISSN: 2519-8432

ISBN: 978-1-61208-487-9

Location: Lisbon, Portugal

Dates: from June 26, 2016 to June 30, 2016

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